anildharni

anildharni-portfolio

anti-drug-counterfeiting

A demonstration of how the blockchain technology can help in addressing the issue of drug counterfeiting in a pharmaceutical supply chain. As part of this project, I developed a solution for this problem on Hyperledger Fabric.

assignment-webdev-newhires

Assignment to New AAOs posted to Data Analytics Group.

aul

This is the sample analysis for ULB data

blogsapp-youtube

car-collateral

Business presentation exploring the feasibility of replacing current car financing system with a novel system based on blockchain.

claimsdata

Insurance claims data for data analysis

covid19india-react

Tracking the impact of COVID-19 in India

covid19japan

dash-sample-apps

Apps hosted in the Dash Gallery

data-preparation-and-exploration-tutorial-material-part-3

Contents of this tutorial are data collection, cleaning and visualisation.

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

ecommerce-mock

E commerce mock website

editable-react-table

React table built to resemble a database.

finance-dashboard

As part of state finance report, this dashboard is developed using Python Pandas and Plotly Dash.

flask_template_auth_with_dash

Flask_template_auth_with_Dash

git-flow

Testing the git flow.

heart-werks

Business Landing Page of Supraja Heart Works.

house_price_prediction_kaggle_calculation

Kaggle competitions are the best places to start using your skills earned in machine learning. This notebook aims to provide the new kagglers a guideline to predict the prices of a house on the alberqueque city house prices dataset. I used label encoder to encode the features and gradient boosting algorithm to achieve percentile upward of 80. I also used random forest regressor so as to give an understanding about the difference of scores in both algorithms

indian-district-boundaries

Districts of India

interview-assessment

introduction-to-machine-learning-with-python-training-material-part-1

Introduction to machine with Python.

jakevanderplas-scikit-tutorial

Jakevanderplas scikit tutorial on youtube is inarguably best tutorial for machine learning using scikit learn. But this tutorial doesn't give you the mathematical background that is making the algorithm work. This repository is what I practiced and not exactly a tutorial but I hope this helps you.

kaggle-titanic-survivor-prediction-problem

This repository has detailed explanation for writing code to predict survivors in titanic disaster. Dataset is downloaded from kaggle.

know-your-cust-bank-network

smart contracts eliminating redundancies in KYC process for a network of banks.

kyc

Solidity smart contracts on Ethereum.

library_management_reactjs

matplotlib_learning

matplot library is the most used library for data visualisation. It combines both the functionalities of matlab and pandas. Get started with Matplotlib here.

mernstack-template

I created a mockup to see if I am able to create all the components of MERN stack for my practice purposes and I succeeded.